GPT-4 Turbo
GPT-4 Turbo is OpenAI's high-capability flagship model featuring a 128K context window, trained on data up to April 2024. It delivers strong reasoning, coding, and instruction-following across complex tasks.
A reliable but outdated GPT-4 snapshot that only makes sense when version pinning is a hard requirement.
Teams requiring a pinned, stable version of GPT-4 Turbo for reproducible outputs in long-document analysis or complex instruction pipelines.
You're starting a new project without legacy constraints — newer models like GPT-4o or Claude Sonnet 4.6 deliver better results at the same or lower cost.
This is a pinned model snapshot (v1106) and will not receive capability updates. OpenAI may deprecate older snapshots over time. Knowledge cutoff is April 2023. Not recommended for new deployments given the superior cost-performance of GPT-4o and GPT-4.1.
128K context window handles long documents, codebases, and multi-turn conversations without truncation
Strong instruction-following and structured output generation compared to base GPT-4
Reliable JSON mode support introduced in v1106, useful for tool-calling pipelines
Pinned snapshot ensures consistent, reproducible behavior — no silent model updates
Significantly outclassed by GPT-4o and GPT-4.1 on most benchmarks at a higher price point than newer alternatives
No native image generation capability and vision support is limited compared to GPT-4o
At $10/$30 per million tokens, it's expensive relative to Claude Sonnet 4.6 or Gemini 1.5 Pro which offer comparable or superior quality for less
What people actually use GPT-4 Turbo (older v1106) for.
Analyzing a 100-page legal contract for clause inconsistencies using the full 128K context
Generating structured JSON outputs for a legacy API integration pipeline requiring v1106 consistency
Summarizing and cross-referencing multiple research papers loaded into a single long context prompt
The nearest models people weigh against it, and what actually separates them.
vs GPT-4 Turbo — Against GPT-4 Turbo (OpenAI), GPT-4 Turbo (older v1106) lands within a few percent on price. Which one wins depends on whether context depth or latency is your constraint.
vs GPT-4 Turbo Preview — Against GPT-4 Turbo Preview (OpenAI), GPT-4 Turbo (older v1106) lands within a few percent on price. Which one wins depends on whether context depth or latency is your constraint.
vs GPT-5 — Against GPT-5 (OpenAI), GPT-4 Turbo (older v1106) costs about 72% more per token and gives up 3.1x on context. GPT-5 is the one to check first if the price difference matters more than the ceiling.
Price History
→0% since May 30
90 data points · tracked daily since May 30, 2026
Teams requiring a pinned, stable version of GPT-4 Turbo for reproducible outputs in long-document analysis or complex instruction pipelines.. Start free — no card required.
Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.
Similar models worth checking before you commit.
GPT-4 Turbo is OpenAI's high-capability flagship model featuring a 128K context window, trained on data up to April 2024. It delivers strong reasoning, coding, and instruction-following across complex tasks.
GPT-4 Turbo Preview is an early access version of GPT-4 Turbo, OpenAI's then-flagship model featuring a 128K context window and knowledge improvements over the original GPT-4. It was designed to deliver GPT-4-class reasoning at reduced cost compared to the original GPT-4.
GPT-5 is OpenAI's flagship multimodal model, superseding GPT-4o with significantly improved reasoning, instruction-following, and knowledge breadth. It handles text, images, and complex multi-step tasks with state-of-the-art performance across most benchmarks.
Pricing moves, ranking shifts, and capability updates.
OpenAI: GPT-4 Turbo (older v1106) (OpenAI) is now indexed. A reliable but outdated GPT-4 snapshot that only makes sense when version pinning is a hard requirement.
View modelGPT-4 Turbo (older v1106) costs $10 per million input tokens and $30 per million output tokens on the API. A month of 10M input and 2M output tokens runs about $160.00 at list price, before any batch or caching discounts.
GPT-4 Turbo (older v1106) is best for teams requiring a pinned, stable version of gpt-4 turbo for reproducible outputs in long-document analysis or complex instruction pipelines.. It is a strong fit when that workflow matters more than the tradeoffs around premium pricing and balanced speed.
You're starting a new project without legacy constraints — newer models like GPT-4o or Claude Sonnet 4.6 deliver better results at the same or lower cost.
GPT-5 (OpenAI) at $1.25/1M/1M input against GPT-4 Turbo (older v1106)'s $10.00/1M/1M — roughly 72% less per token all in. OpenAI's best general-purpose model — a strong flagship pick that punches above its price on input costs while delivering top-tier reasoning and multimodal capability. Compare it first if GPT-4 Turbo (older v1106)'s pricing is the thing stopping you.
GPT-4 Turbo — balanced against GPT-4 Turbo (older v1106)'s balanced, with 128k tokens of context. Worth the swap when response time is what your users notice rather than the last few points of reasoning depth.
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